Printable PDFDesigning and Implementing a Data Science Solution on Azure: DP-100
Vendor: Microsoft
Certifications: Role-based
Exam Name: Designing and Implementing a Data Science Solution on Azure
Exam Code: DP-100
Total Questions: 314 Q&As
Last Updated: Jan 21, 2023
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DP-100 Online Practice Questions and Answers
You create a datastore named training_data that references a blob container in an Azure Storage account. The blob container contains a folder named csv_files in which multiple comma-separated values (CSV) files are stored. You have a script named train.py in a local folder named ./script that you plan to run as an experiment using an estimator. The script includes the following code to read data from the csv_files folder: You have the following script.
You need to configure the estimator for the experiment so that the script can read the data from a data reference named data_ref that references the csv_files folder in the training_data datastore. Which code should you use to configure the estimator?
A. Option A
B. Option B
C. Option C
D. Option D
E. Option E
You are with a time series dataset in Azure Machine Learning Studio.
You need to split your dataset into training and testing subsets by using the Split Data module.
Which splitting mode should you use?
A. Recommender Split
B. Regular Expression Split
C. Relative Expression Split
D. Split Rows with the Randomized split parameter set to true
HOTSPOT
You are preparing to build a deep learning convolutional neural network model for image classification. You create a script to train the model using CUDA devices.
You must submit an experiment that runs this script in the Azure Machine Learning workspace.
The following compute resources are available:
1.
a Microsoft Surface device on which Microsoft Office has been installed. Corporate IT policies prevent the installation of additional software
2.
a Compute Instance named ds-workstation in the workspace with 2 CPUs and 8 GB of memory
3.
an Azure Machine Learning compute target named cpu-cluster with eight CPU-based nodes
4.
an Azure Machine Learning compute target named gpu-cluster with four CPU and GPU-based nodes
You need to specify the compute resources to be used for running the code to submit the experiment, and for running the script in order to minimize model training time.
Which resources should the data scientist use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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